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Topic

Knowledge Work Automation

The use of AI agents to perform white-collar tasks like analysis, writing and document creation, with implications for jobs, wages and productivity.

Current stories

productOne report1 publisher

Knowledge-work unemployment reaches 18 percent in Anthropic's extreme 2030 scenario

Anthropic published a scenario explorer on 10 September holding three versions of the 2030 US economy. Only one of them would change a staffing plan, and it assumes recursively self-improving systems adopted quickly.

Publishers:thenextweb.com

Reality

Evidence52
Adoption10
Hype gap+30
Incentives78
Confidence58
investOne report1 publisher

Anthropic's middle AI scenario stalls knowledge-worker wages through 2030

Anthropic published three scenarios for AI's effect on the US economy without probabilities. The middle one, where AI does half of knowledge work by 2030 while knowledge-worker pay stalls, is the branch a capex plan can actually use.

Publishers:fortune.com

Reality

Evidence40
Adoption30
Hype gap+30
Incentives70
Confidence45
productOne report1 publisher

Anthropic's growth model: how fast workers can switch jobs is a key variable in who benefits from AI

The middle case in Anthropic's new model puts US GDP at $36.3 trillion by 2030 with knowledge-worker pay flat, and what separates flat pay from a 10% cut is how quickly displaced people find other work.

Publishers:tomsguide.com

Reality

Evidence46
Adoption
Not scored
Hype gap+34
Incentives66
Confidence52
scienceOne report1 publisher

A 91-task benchmark for agent knowledge work runs every task cold, and says so

Artificial Analysis' AA-Briefcase grades deliverables built from four multi-week projects, but each task starts with no memory of the model's own earlier submissions. Continuity stays unmeasured.

Reality

Evidence60
Adoption
Not scored
Hype gap+12
Incentives62
Confidence55